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Intelligent Methods and Big Data in Industrial Applications pp 291–305Cite as

Classification of Music Genres by Means of Listening Tests and Decision Algorithms

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Part of the book series: Studies in Big Data ((SBD,volume 40))

Abstract

The paper compares the results of audio excerpt assignment to a music genre obtained in listening tests and classification by means of decision algorithms. A short review on music description employing music styles and genres is given. Then, assumptions of listening tests to be carried out along with an online survey for assigning audio samples to selected music genres are presented. A framework for music parametrization is created resulting in feature vectors, which are checked for data redundancy. Finally, the effectiveness of the automatic music genre classification employing two decision algorithms is presented. Conclusions contain the results of the comparative analysis of the results obtained in listening tests and automatic genre classification.

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Author information

Authors and Affiliations

  1. Audio Acoustics Laboratory, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Narutowicza 11/12, 80-233, Gdańsk, Poland

    Aleksandra Dorochowicz, Piotr Hoffmann, Agata Majdańczuk & Bożena Kostek

Authors
  1. Aleksandra Dorochowicz
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  2. Piotr Hoffmann
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  3. Agata Majdańczuk
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  4. Bożena Kostek
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Corresponding author

Correspondence to Piotr Hoffmann .

Editor information

Editors and Affiliations

  1. Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland

    Robert Bembenik

  2. Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland

    Łukasz Skonieczny

  3. Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland

    Grzegorz Protaziuk

  4. Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland

    Marzena Kryszkiewicz

  5. Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland

    Henryk Rybinski

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Dorochowicz, A., Hoffmann, P., Majdańczuk, A., Kostek, B. (2019). Classification of Music Genres by Means of Listening Tests and Decision Algorithms. In: Bembenik, R., Skonieczny, Ł., Protaziuk, G., Kryszkiewicz, M., Rybinski, H. (eds) Intelligent Methods and Big Data in Industrial Applications. Studies in Big Data, vol 40. Springer, Cham. https://doi.org/10.1007/978-3-319-77604-0_21

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